MGIDI: a powerful tool to analyze plant multivariate data

BACKGROUND: Commonly, several traits are assessed in agronomic experiments to better understand the factors under study. However, it is also common to see that even when several traits are available, researchers opt to follow the easiest way by applying univariate analyses and post-hoc tests for mea...

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Detalles Bibliográficos
Autores principales: Olivoto, Tiago, Diel, Maria I., Schmidt, Denise, Lúcio, Alessandro D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652799/
https://www.ncbi.nlm.nih.gov/pubmed/36371210
http://dx.doi.org/10.1186/s13007-022-00952-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652799/
https://www.ncbi.nlm.nih.gov/pubmed/36371210
http://dx.doi.org/10.1186/s13007-022-00952-5

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